CN115817504A - Energy-saving vehicle speed calculation method, system, electronic equipment, storage medium - Google Patents

Abstract

The present invention provides an energy-saving vehicle speed calculation method, system, electronic equipment, and storage medium. The method includes: acquiring road traffic information associated with a target driving section; Information and the road traffic information are used as independent variables, and the predicted energy consumption of the target vehicle in the target driving section is used as the dependent variable to construct an optimization model; based on the optimization model, the minimum of the predicted energy consumption is The target is to calculate the predicted speed corresponding to the minimum predicted energy consumption as the energy-saving speed of the target vehicle on the target road section. By establishing the optimal model, the energy-saving vehicle speed is solved with the optimization goal of minimizing energy consumption, so as to set the current target vehicle speed of the vehicle, which can reduce the energy consumption in the entire journey.

Description

Energy-saving vehicle speed calculation method, system, electronic equipment, storage medium

technical field

The invention relates to the technical field of intelligent networked vehicles, in particular to an energy-saving vehicle speed calculation method, system, electronic equipment, and storage medium.

Background technique

With the development of intelligent networked vehicle technology, traditional vehicle control methods have been further innovated. At present, vehicle-cloud networked technology has been tried and applied in road vehicle supervision, urban road conditions, rapid traffic, road safety warning, etc., and its energy-saving vehicles Assistance functions for driving are also promising. With the support of vehicle-cloud-network collaboration technology, how to plan the energy-saving speed of vehicles is of research significance.

Contents of the invention

Aiming at the problems existing in the prior art, the present invention provides an energy-saving vehicle speed calculation method, system, electronic equipment, and storage medium.

An energy-saving vehicle speed calculation method provided by the present invention, the method includes:

Obtaining road traffic information associated with the target driving section;

Constructing an optimization model with the predicted speed of the target vehicle in the target driving section, the target vehicle information and the road traffic information as independent variables, and the predicted energy consumption of the target vehicle in the target driving section as a dependent variable;

Based on the optimization model, with the minimization of the predicted energy consumption as the goal, the predicted speed corresponding to the minimum predicted energy consumption is calculated as the energy-saving speed of the target vehicle on the target road section.

According to an energy-saving vehicle speed calculation method provided by the present invention, the road traffic information includes first information and second information, and the first information is obtained after monitoring the first sub-section in the target driving section and sent to the cloud Wherein, the second information is generated by an estimation method on the basis of the first information for the second sub-section that cannot be monitored in the target driving section.

According to an energy-saving vehicle speed calculation method provided by the present invention, the estimation method of the second information includes:

Acquiring the first information of adjacent subroad sections;

Based on the first information, Bayesian estimation or linear interpolation is used to estimate the second information.

According to an energy-saving vehicle speed calculation method provided by the present invention, the acquisition of road traffic information on the target travel section includes:

Dividing the target driving section into multiple sections;

Obtain multiple items of road traffic information corresponding to multiple sections;

Correspondingly, the predicted speed of the target vehicle in the target driving section, the target vehicle information and the road traffic information are used as independent variables, and the predicted energy consumption of the target vehicle in the target driving section is used as a dependent variable, Constructing an optimization model; based on the optimization model, with the minimization of the predicted energy consumption as the goal, calculating the predicted speed corresponding to the minimum predicted energy consumption as the energy-saving speed of the target vehicle on the target road section ,include:

Using the predicted speed of the target vehicle in multiple sections, the information of the target vehicle, and the corresponding road traffic information as independent variables, and the predicted energy consumption of multiple sections as dependent variables, construct multiple optimized Model;

Based on the plurality of optimization models, with the goal of minimizing the plurality of predicted energy consumption, the plurality of predicted speeds corresponding to the plurality of predicted energy consumption minimums are calculated as the target vehicle in the plurality of The eco-speed for the segment.

According to an energy-saving vehicle speed calculation method provided by the present invention, obtaining the road traffic information associated with the target driving section includes:

Acquiring vehicle position distribution information and vehicle speed distribution information associated with the target driving section;

Based on the vehicle position distribution information, the lane number information and lane vehicle information are calculated by lateral relative position clustering;

calculating vehicle lane-changing frequency information based on the lane quantity information and the lane vehicle information in multiple time periods;

The vehicle position distribution information, the vehicle speed distribution information and the vehicle lane-changing frequency information are used as road traffic information.

According to an energy-saving vehicle speed calculation method provided by the present invention, the road traffic information further includes at least one of the following:

Vehicle braking frequency information, vehicle braking intensity information, road slope information.

According to an energy-saving vehicle speed calculation method provided by the present invention, based on the vehicle position distribution information, the lane number information and lane vehicle information are calculated through lateral relative position clustering, including:

Construct the coordinate system of the target driving section;

Based on the vehicle position distribution information, coordinate transformation projection is performed on the vehicles on the target driving section;

Carrying out clustering on vehicles whose centroid lateral positions are less than a predetermined distance in the coordinate system, and calculating lane number information and lane vehicle information.

According to an energy-saving vehicle speed calculation method provided by the present invention, the vehicle lane change frequency information is calculated based on the lane number information and the lane vehicle information in multiple time periods, including:

Obtaining the change in the number of vehicles in the lane within a predetermined period of time;

A quotient obtained by dividing the change in the number of vehicles by the duration of the predetermined period is used as the lane-changing frequency of the vehicle within the predetermined period.

According to an energy-saving vehicle speed calculation method provided by the present invention, the target vehicle information further includes at least one of the following: actual vehicle speed information of the target vehicle, and transmission system information of the target vehicle.

The present invention also provides an energy-saving vehicle speed calculation system, the system comprising:

An acquisition module, configured to acquire road traffic information associated with the target driving section;

a building block for taking the predicted speed of the target vehicle in the target driving section, the target vehicle information and the road traffic information as independent variables, and taking the predicted energy consumption of the target vehicle in the target driving section as a dependent variable, Build an optimization model;

An optimization module, used to calculate the predicted speed corresponding to the minimum predicted energy consumption based on the optimization model, with the goal of minimizing the predicted energy consumption, as the energy saving of the target vehicle on the target road section speed.

The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored on the memory and operable on the processor, and the processor implements any one of the above when executing the program. The steps of the energy-saving vehicle speed calculation method.

The present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the energy-saving vehicle speed calculation method described in any one of the above are implemented.

The energy-saving vehicle speed calculation method, system, electronic equipment, and storage medium provided by the present invention solve the energy-saving vehicle speed by establishing an optimized type with the optimization goal of minimizing energy consumption, thereby setting the current target vehicle speed of the vehicle and reducing the energy consumption in the entire journey consume.

Description of drawings

In order to more clearly illustrate the present invention or the technical solutions in the prior art, the accompanying drawings that need to be used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the accompanying drawings in the following description are the For some embodiments of the present invention, those of ordinary skill in the art can also obtain other drawings based on these drawings on the premise of not paying creative efforts.

Fig. 1 is a schematic flow chart of an energy-saving vehicle speed calculation method provided by the present invention;

FIG. 2 is a schematic structural diagram of an energy-saving vehicle speed calculation system provided by the present invention;

FIG. 3 is a schematic diagram of the physical structure of an electronic device provided by the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

The energy-saving vehicle speed calculation method provided by the embodiment of the present application will be described in detail below through specific embodiments and application scenarios with reference to the accompanying drawings.

Fig. 1 is a schematic flowchart of a method for calculating an energy-saving vehicle speed provided by the present invention. As shown in Fig. 1 , the method for calculating an energy-saving vehicle speed provided by the present invention may include the following steps.

Optionally, the subject of execution of the method automatically drives a vehicle, and the vehicle can acquire information through networking.

Optionally, the subject of execution of the method is a cloud server.

S100. Obtain road traffic information associated with a target travel section.

S200. Construct an optimization model with the predicted speed of the target vehicle on the target driving section, the target vehicle information and road traffic information as independent variables, and the predicted energy consumption of the target vehicle on the target driving section as a dependent variable.

S300. Based on the optimization model, aiming at minimizing the predicted energy consumption, calculate the predicted speed corresponding to the minimum predicted energy consumption, and use it as the energy-saving speed of the target vehicle on the target driving section.

Optionally, the target driving section is an expressway.

Optionally, the road traffic information includes information acquired by various information collection devices installed on roads.

Optionally, the road traffic information includes road-related or vehicle-related monitoring information from the cloud.

Optionally, the optimization model takes the multi-factor weighting function related to the minimum energy consumption as the optimization goal, and uses the reverse recursive optimization method to calculate the energy-saving vehicle speed.

Optionally, the solution of the optimization model can be calculated on the on-board controller, or can be remotely solved in the cloud and sent to the target vehicle for execution. If the calculation is performed on the on-board controller, then the corresponding vehicle-cloud information transmission protocol needs to agree to transmit the road traffic information collected in the cloud to the target vehicle; The cloud information transmission protocol needs to agree to transfer the target vehicle information to the cloud.

In this embodiment, the energy-saving vehicle speed is obtained by establishing an optimization model with the minimum energy consumption as the optimization goal, so as to set the current target vehicle speed of the vehicle, which can reduce energy consumption in the entire journey.

Further, on the basis of the foregoing embodiments, in another embodiment, this embodiment provides an energy-saving vehicle speed calculation method, the road traffic information includes first information and second information, the first information is the The first sub-section is obtained and sent to the cloud after being monitored, and the second information is generated by an estimation method on the basis of the first information for the second sub-section that cannot be monitored in the target driving section.

It should be noted that in the actual highway section, the monitoring coverage of the monitoring equipment on the highway is limited, and it changes dynamically, so it is necessary to use the estimation method to complete the information.

This embodiment discloses the first information obtained by the monitoring equipment and the second information obtained by complementing the road traffic information.

Further, on the basis of the foregoing embodiments, in another embodiment, this embodiment provides a method for calculating an energy-saving vehicle speed, and the method for estimating the second information includes:

Obtain the first information of the adjacent sub-section;

Based on the first information, Bayesian estimation or linear interpolation is used to estimate the second information.

Optionally, in addition to using the Bayesian estimation method, the second information may also be estimated based on empirical rule recursion and other optimal estimation methods.

This embodiment discloses how to specifically complete road traffic information.

Further, on the basis of the foregoing embodiments, in another embodiment, this embodiment provides an energy-saving vehicle speed calculation method to obtain road traffic information on the target driving section, including:

Divide the target driving section into multiple sections;

Obtain multiple road traffic information corresponding to multiple sections;

Correspondingly, the predicted speed of the target vehicle in the target driving section, the target vehicle information and road traffic information are used as independent variables, and the predicted energy consumption of the target vehicle in the target driving section is used as the dependent variable to construct an optimization model; based on the optimization model, to predict The minimization of energy consumption is the goal, and the predicted speed corresponding to the predicted minimum energy consumption is calculated as the energy-saving speed of the target vehicle on the target road section, including:

Using the predicted speed of the target vehicle in multiple sections, the information of the target vehicle and the corresponding road traffic information as independent variables, and the predicted energy consumption of multiple sections as the dependent variable, construct multiple optimization models;

Based on multiple optimization models, aiming at minimizing multiple predicted energy consumptions, multiple predicted speeds corresponding to multiple predicted energy consumption minimums are calculated as energy-saving vehicle speeds of the target vehicle in multiple sections.

Further, the target driving road section is divided into multiple sections, which can be divided according to a fixed distance between distances, or can be divided according to key position points.

This embodiment discloses that the target driving road section is divided into multiple sections, and the energy-saving vehicle speed is calculated for each section, so as to obtain a more optimized energy-saving effect.

Further, on the basis of the foregoing embodiments, in another embodiment, this embodiment provides an energy-saving vehicle speed calculation method, and obtaining road traffic information associated with the target driving section includes:

Obtain vehicle position distribution information and vehicle speed distribution information associated with the target driving section;

Based on the vehicle position distribution information, the lane number information and lane vehicle information are calculated through horizontal relative position clustering;

Calculate the vehicle lane change frequency information based on the number of lanes and vehicle information in multiple periods of time;

The vehicle position distribution information, vehicle speed distribution information and vehicle lane change frequency information are used as road traffic information.

Optionally, the vehicle position distribution information and vehicle speed distribution information are directly acquired by various information collection devices installed on the road, and then sent to the cloud, which can further choose to send to the vehicle.

Optionally, after the monitoring device obtains the vehicle position distribution information and the vehicle speed distribution information, it encodes the time series information of the vehicle position and speed. Furthermore, if there are a large number of vehicles on the target driving section, these vehicles can be individually numbered or dynamically numbered. Because in the process of calculating the distribution of vehicle speed and position, the size of the vehicle number value has no effect, so there is no need to sequentially number the vehicles, and only need to use the encoding value that can uniquely determine a certain vehicle.

Optionally, based on the vehicle position distribution information, the lane number information and the lane vehicle information are calculated by lateral relative position clustering, including:

Construct the coordinate system of the target driving road section;

Based on the vehicle position distribution information, coordinate transformation projection is performed on the vehicle on the target driving section;

Carry out clustering on the vehicles whose centroid lateral position in the coordinate system is less than a predetermined distance, and calculate the lane number information and lane vehicle information.

Further, the aforementioned coordinate system includes a Frenet coordinate system.

Optionally, the predetermined distance is 1 m.

Optionally, based on the lane number information and lane vehicle information in multiple time periods, the lane-changing frequency information of vehicles is calculated, including:

Obtain the change in the number of vehicles in the lane within a predetermined period of time;

The quotient obtained by dividing the change in the number of vehicles by the duration of the predetermined period is used as the lane-changing frequency of the vehicle within the predetermined period.

Further, the predetermined period includes a sampling period.

This embodiment discloses that the road traffic information includes directly obtained vehicle position distribution information, vehicle speed distribution information and indirectly obtained vehicle lane change frequency information, and the vehicle lane change frequency information is used as an independent variable for energy consumption calculation, so that the energy saving effect is better.

Further, on the basis of the foregoing embodiments, in another embodiment, this embodiment provides an energy-saving vehicle speed calculation method, and the road traffic information further includes at least one of the following:

Vehicle braking frequency information, vehicle braking intensity information, road slope information.

Optionally, the target vehicle information further includes at least one of the following: actual vehicle speed information of the target vehicle, and transmission system information of the target vehicle.

Optionally, in the process of constructing the optimization model, factors such as the actual speed information of the target vehicle, vehicle speed distribution information, vehicle lane-changing frequency information, vehicle braking frequency information, and vehicle braking intensity information usually need to be considered. At the same time, it can also be combined with Based on factors such as the slope information stored in the cloud or the target vehicle and the transmission system information of the target vehicle, optimization models of different complexity are constructed.

In this embodiment, by increasing the types of road traffic information and target vehicle information, the practicability of energy-saving speed is increased, thereby improving the energy-saving effect.

Further, on the basis of the foregoing embodiments, in another embodiment, this embodiment provides an energy-saving vehicle speed calculation method,

The energy-saving vehicle speed calculation system provided by the present invention is described below, and the energy-saving vehicle speed calculation system described below and the energy-saving vehicle speed calculation method described above can be referred to in correspondence.

Fig. 2 is a schematic structural diagram of an energy-saving vehicle speed calculation system provided by the present invention. As shown in Fig. 2, the present invention also provides an energy-saving vehicle speed calculation system, and the system includes:

An acquisition module, configured to acquire road traffic information associated with the target driving section;

A building block for constructing an optimization model with the predicted speed of the target vehicle in the target driving section, the target vehicle information and road traffic information as independent variables, and the predicted energy consumption of the target vehicle in the target driving section as the dependent variable;

The optimization module is used to calculate the predicted speed corresponding to the minimum predicted energy consumption based on the optimization model, with the goal of minimizing the predicted energy consumption, as the energy-saving speed of the target vehicle on the target driving section.

In this embodiment, the energy-saving vehicle speed is obtained by establishing an optimization model with the minimum energy consumption as the optimization goal, so as to set the current target vehicle speed of the vehicle, which can reduce energy consumption in the entire journey.

FIG. 3 is a schematic diagram of the physical structure of an electronic device provided by the present invention. As shown in FIG. The bus 340 , wherein the processor 310 , the communication interface 320 , and the memory 330 communicate with each other through the communication bus 340 . The processor 310 can call the logic instructions in the memory 330 to execute the method for calculating the energy-saving vehicle speed, and the method includes:

Obtaining road traffic information associated with the target driving section;

Constructing an optimization model with the predicted speed of the target vehicle in the target driving section, the target vehicle information and the road traffic information as independent variables, and the predicted energy consumption of the target vehicle in the target driving section as a dependent variable;

Based on the optimization model, with the minimization of the predicted energy consumption as the goal, the predicted speed corresponding to the minimum predicted energy consumption is calculated as the energy-saving speed of the target vehicle on the target road section.

In addition, the above-mentioned logic instructions in the memory 330 may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes. .

On the other hand, the present invention also provides a computer program product, the computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program includes program instructions, and when the program instructions are executed by a computer During execution, the computer can execute the energy-saving vehicle speed calculation method provided by the above-mentioned methods, and the method includes:

Obtaining road traffic information associated with the target driving section;

Constructing an optimization model with the predicted speed of the target vehicle in the target driving section, the target vehicle information and the road traffic information as independent variables, and the predicted energy consumption of the target vehicle in the target driving section as a dependent variable;

Based on the optimization model, with the minimization of the predicted energy consumption as the goal, the predicted speed corresponding to the minimum predicted energy consumption is calculated as the energy-saving speed of the target vehicle on the target road section.

In yet another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it is implemented to perform the energy-saving vehicle speed calculation methods provided above, and the method includes :

Obtaining road traffic information associated with the target driving section;

Constructing an optimization model with the predicted speed of the target vehicle in the target driving section, the target vehicle information and the road traffic information as independent variables, and the predicted energy consumption of the target vehicle in the target driving section as a dependent variable;

Based on the optimization model, with the minimization of the predicted energy consumption as the goal, the predicted speed corresponding to the minimum predicted energy consumption is calculated as the energy-saving speed of the target vehicle on the target road section.

The device embodiments described above are only illustrative, and the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in One place, or it can be distributed to multiple network elements. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. It can be understood and implemented by those skilled in the art without any creative efforts.

Through the above description of the implementations, those skilled in the art can clearly understand that each implementation can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the prior art can be embodied in the form of software products, and the computer software products can be stored in computer-readable storage media, such as ROM/RAM, magnetic discs, optical discs, etc., including several instructions to make a computer device (which may be a personal computer, server, or network device, etc.) execute the methods described in various embodiments or some parts of the embodiments.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: it can still be Modifications are made to the technical solutions described in the foregoing embodiments, or equivalent replacements are made to some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims (12)

1. An energy-saving vehicle speed calculation method is characterized in that the method comprises: Obtaining road traffic information associated with the target driving section; Constructing an optimization model with the predicted speed of the target vehicle in the target driving section, the target vehicle information and the road traffic information as independent variables, and the predicted energy consumption of the target vehicle in the target driving section as a dependent variable; Based on the optimization model, with the minimization of the predicted energy consumption as the goal, the predicted speed corresponding to the minimum predicted energy consumption is calculated as the energy-saving speed of the target vehicle on the target road section. 2. The energy-saving vehicle speed calculation method according to claim 1, wherein the road traffic information includes first information and second information, and the first information is a reference to the first subsection in the target driving section. The second information is obtained and sent to the cloud after monitoring, and the second information is generated by an estimation method on the basis of the first information for the second sub-road section that cannot be monitored in the target driving road section. 3. The energy-saving vehicle speed calculation method according to claim 2, wherein the estimation method of the second information comprises: Acquiring the first information of adjacent subroad sections; Based on the first information, Bayesian estimation or linear interpolation is used to estimate the second information. 4. The energy-saving vehicle speed calculation method according to claim 1, wherein said acquiring road traffic information on the target travel section comprises: Dividing the target driving section into multiple sections; Obtain multiple items of road traffic information corresponding to multiple sections; Correspondingly, the predicted speed of the target vehicle in the target driving section, the target vehicle information and the road traffic information are used as independent variables, and the predicted energy consumption of the target vehicle in the target driving section is used as a dependent variable, Constructing an optimization model; based on the optimization model, with the minimization of the predicted energy consumption as the goal, calculating the predicted speed corresponding to the minimum predicted energy consumption as the energy-saving speed of the target vehicle on the target road section ,include: Using the predicted speed of the target vehicle in multiple sections, the information of the target vehicle, and the corresponding road traffic information as independent variables, and the predicted energy consumption of multiple sections as dependent variables, construct multiple optimized Model; Based on the plurality of optimization models, with the goal of minimizing the plurality of predicted energy consumption, the plurality of predicted speeds corresponding to the plurality of predicted energy consumption minimums are calculated as the target vehicle in the plurality of The eco-speed for the segment. 5. The energy-saving vehicle speed calculation method according to claim 1, wherein obtaining the road traffic information associated with the target travel section comprises: Acquiring vehicle position distribution information and vehicle speed distribution information associated with the target driving section; Based on the vehicle position distribution information, the lane number information and lane vehicle information are calculated by lateral relative position clustering; calculating vehicle lane-changing frequency information based on the lane quantity information and the lane vehicle information in multiple time periods; The vehicle position distribution information, the vehicle speed distribution information and the vehicle lane-changing frequency information are used as road traffic information. 6. The energy-saving vehicle speed calculation method according to claim 5, wherein the road traffic information further includes at least one of the following: Vehicle braking frequency information, vehicle braking intensity information, road slope information. 7. The energy-saving vehicle speed calculation method according to claim 5, characterized in that, based on the vehicle position distribution information, the lane number information and lane vehicle information are calculated by lateral relative position clustering, including: Construct the coordinate system of the target driving section; Based on the vehicle position distribution information, coordinate transformation projection is performed on the vehicles on the target driving section; Carrying out clustering on vehicles whose centroid lateral positions are less than a predetermined distance in the coordinate system, and calculating lane number information and lane vehicle information. 8. The energy-saving vehicle speed calculation method according to claim 5, wherein the vehicle lane-changing frequency information is calculated based on the lane number information and the lane vehicle information in a plurality of time periods, including: Obtaining the change in the number of vehicles in the lane within a predetermined period of time; A quotient obtained by dividing the change in the number of vehicles by the duration of the predetermined period is used as the lane-changing frequency of the vehicle within the predetermined period. 9. The energy-saving vehicle speed calculation method according to claim 1, wherein the target vehicle information further includes at least one of the following: actual vehicle speed information of the target vehicle, and transmission system information of the target vehicle. 10. An energy-saving vehicle speed calculation system, characterized in that the system comprises: An acquisition module, configured to acquire road traffic information associated with the target driving section; a building block for taking the predicted speed of the target vehicle in the target driving section, the target vehicle information and the road traffic information as independent variables, and taking the predicted energy consumption of the target vehicle in the target driving section as a dependent variable, Build an optimization model; An optimization module, used to calculate the predicted speed corresponding to the minimum predicted energy consumption based on the optimization model, with the goal of minimizing the predicted energy consumption, as the energy saving of the target vehicle on the target road section speed. 11. An electronic device comprising a memory, a processor, and a computer program stored on the memory and operable on the processor, wherein the processor according to claim 1 is implemented when executing the program. -The steps of the energy-saving vehicle speed calculation method described in any one of 9. 12. A non-transitory computer-readable storage medium, on which a computer program is stored, characterized in that, when the computer program is executed by a processor, the energy-saving vehicle speed calculation method according to any one of claims 1-9 is realized A step of.

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